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Mistral Small 3 24B Base vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 15.0% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. o1-mini is available on 2 providers. Overall, o1-mini is the stronger choice for coding tasks.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
4 months newer
o1-mini
OpenAI
2024-09-12
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Mistral Small 3 24B Base
Average Score:57.6%
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o1-mini
Average Score:72.6%(+15.0%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Small 3 24B Base
0 providers
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o1-mini
2 providers
Azure
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Mistral Small 3 24B Base
Avg Score:57.6%
Providers:0
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o1-mini
Avg Score:72.6%(+15.0%)
Providers:2